Created
July 23, 2023 12:45
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| //drop columns | |
| df.drop(['Unnamed: 0.1', 'Unnamed: 0'], axis=1, inplace=True) | |
| //count sample or get dimensions | |
| x_train_pr1.shape |
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df.corr()['price'].sort_values() // most feature corellated with price